Cart (Loading....) | Create Account
Close category search window
 

Application of Empirical Mode Decomposition in prediction of acute hypotension episodes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Arasteh, Abdollah ; Amirkabir Univ. of Technol., Tehran, Iran ; Janghorbani, Amin ; Moradi, M.H.

Acute hypotension episodes are one of the hemodynamic instabilities with high mortality rate that is frequent among many groups of patients. Prediction of acute hypotension episodes can help clinicians to diagnose the cause of this physiological disorder and select proper treatment based on this diagnosis. In this study Empirical Mode Decomposition of Mean Arterial Pressure (MAP) time series were calculated and some features such as statistical features of Intrinsic Mode Functions (IMFs) were extracted. Finally, a Support Vector Machine (SVM) was applied for classification of these features and prediction of acute hypotension episodes. The accuracy of prediction was 92% with Leave One Out cross validation method.

Published in:

Biomedical Engineering (ICBME), 2010 17th Iranian Conference of

Date of Conference:

3-4 Nov. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.